Build foundational datasets with Python and Spark as a Senior Data Engineer at Robinhood in Toronto’s in-office setting. Power analytics, experimentation, and machine learning use cases.
Robinhood is hiring a Senior Data Engineer to develop reliable data foundations across product areas. You will maintain application events, database snapshots, and derived metric datasets. The work involves Airflow, scalable pipelines, SQL, and intuitive data models for data consumers.

Key Responsibilities

Define and build datasets across Robinhood product areasLead dataset evolution as use cases growBuild Python, Spark, and Airflow data pipelinesPartner with upstream engineers on data generationContribute to data engineering tooling and standardsRequirements:
Computer science or relevant educational backgroundFour-plus years and bachelor’s degree, or two-plus years and master’s degreeExperience building high-quality data solutionsExpertise with open source data frameworksStrong Python and SQL skillsUse data engineering, analytical problem solving, and communication skills to support reliable decisions at Robinhood.

📌 Senior Data Engineer Toronto (Canada)
🏢 Robinhood
📍 Canada